Abstract
The issue of contaminated sites has been highlighted as an immediate priority in the 13th Five-Year Plan of China. Identification and prioritization of contaminated sites are of key importance for proposing effective strategies for the regional management of contaminated sites. In this study, three advanced multi-attribute methodologies, the risk-based priority methodology, the regional risk assessment methodology, and the dominance-based rough set approach (DRSA), were comparatively employed to screen contaminated sites in, Guangxi, Southwest of China. The results of the three prioritizations show that the highest ranking site identified by the three methods had great agreement. In regard to the screening attributers, while the risk-based prioritization methodology and regional risk assessment methodology allowed a high discrimination in the screening of contaminated sites associated with different attributes, such as farmland, residential areas, contaminant level, number of people, area, storage quality, site service life, and surrounding communities, the DRSA allowed the identification of contamination strength (CS) and contamination potential (CP).
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References
Ahmadisharaf E, Kalyanapu AJ, Chung E-S (2016) Spatial probabilistic multi-criteria decision making for assessment of flood management alternatives. J Hydrol 533:365–378. https://doi.org/10.1016/j.jhydrol.2015.12.031
Ahmed MK, Shaheen N, Islam MS, Habibullah-al-Mamun M, Islam S, Mohiduzzaman M, Bhattacharjee L (2015) Dietary intake of trace elements from highly consumed cultured fish (Labeo rohita, Pangasius pangasius and Oreochromis mossambicus) and human health risk implications in Bangladesh. Chemosphere 128:284–292. https://doi.org/10.1016/j.chemosphere.2015.02.016
Alvarez-Guerra M, Viguri JR, Voulvoulis N (2009) A multicriteria-based methodology for site prioritisation in sediment management. Environ Int 35:920–930. https://doi.org/10.1016/j.envint.2009.03.012
Anna Rita Gentile MF, Quercia F, Schamann M, Tarvainen T, Vecchio A, Wepner M (2005) Towards an EEA Europe-wide assessment of areas under risk for soil contamination-Volume III PRA.MS: scoring model and algorithm. Kongens, Denmark
Azar AT, Inbarani HH, Renuga Devi K (2017) Improved dominance rough set-based classification system. Neural Comput Appl 28:2231–2246. https://doi.org/10.1007/s00521-016-2177-z
Cao S, Duan X, Ma Y, Zhao X, Qin Y, Liu Y, Li S, Zheng B, Wei F (2017) Health benefit from decreasing exposure to heavy metals and metalloid after strict pollution control measures near a typical river basin area in China. Chemosphere 184:866–878. https://doi.org/10.1016/j.chemosphere.2017.06.052
Carlon C, Pizzol L, Critto A, Marcomini A (2008) A spatial risk assessment methodology to support the remediation of contaminated land. Environ Int 34:397–411. https://doi.org/10.1016/j.envint.2007.09.009
Chen Y, Hipel KW, Kilgour DM, Zhu Y (2009) A strategic classification support system for brownfield redevelopment. Environmental Modelling & Software 24(5):647-654
Chen Y, Miao D, Wang R, Wu K (2011) A rough set approach to feature selection based on power set tree. Knowledge-Based Systems 24(2):275-281
Cheng F, Geertman S, Kuffer M, Zhan Q (2011) An integrative methodology to improve brownfield redevelopment planning in Chinese cities: a case study of Futian, Shenzhen. Comput Environ Urban Syst 35:388–398. https://doi.org/10.1016/j.compenvurbsys.2011.05.007
Dai J, Hu Q, Zhang J, Hu H, Zheng N (2017) Attribute selection for partially labeled categorical data by rough set approach. IEEE T Cybern 47:2460–2471. https://doi.org/10.1109/TCYB.2016.2636339
Duan Y, Gan Y, Wang Y, Liu C, Yu K, Deng Y, Zhao K, Dong C (2017) Arsenic speciation in aquifer sediment under varying groundwater regime and redox conditions at Jianghan Plain of Central China. Sci Total Environ 607-608:992–1000. https://doi.org/10.1016/j.scitotenv.2017.07.011
EEA, European Environment Agency (2005) Towards an EEA Europe-wide assessment of areas under risk for soil contamination. Volume III PRA.MS: scoring model and algorithm. https://www.researchgate.net/publication/313200425_Towards_an_EEA_Europe-wide_assessment_of_areas_under_risk_for_soil_contamination
Florent J, Andre M (1998) Land management with GIS and multicriteria analysis. Int Trans Oper Res 7:67–78. https://doi.org/10.1016/s0969-6016(99)00028-3
Greco S, Matarazzo B, Slowinski R (2001) Rough sets theory for multicriteria decision analysis. European Journal of Operational Research 129(1):1-47
Hayek M, Novak M, Arku G, Gilliland J (2010) Mapping industrial legacies: building a comprehensive brownfield database in geographic information systems. Plann Pract Res 25:461–475. https://doi.org/10.1080/02697459.2010.511018
Hu Q, Chakhar S, Siraj S, Labib A (2017) Spare parts classification in industrial manufacturing using the dominance-based rough set approach. Eur J Oper Res 262:1136–1163. https://doi.org/10.1016/j.ejor.2017.04.040
Hunsaker CT, RLG, Suter II GW, O’Neill RV, Barnthouse LW, Gardner RH (1990) Assessing ecological risk on a regional scale. Environ Manag 14:325–332. https://doi.org/10.1007/bf02394200
Janssen R (1992) A multiobjective decision support system for environmental problems. Environ Manag 7:23–40. https://doi.org/10.1007/978-94-011-2807-0_5
Kuppusamy S, Venkateswarlu K, Megharaj M, Mayilswami S, Lee YB (2017) Risk-based remediation of polluted sites: a critical perspective. Chemosphere 186:607–615. https://doi.org/10.1016/j.chemosphere.2017.08.043
Li H, Mai Z, Huang C, Jiang S, Huang S, Wang P (2011) Analysis on arsenic poisoning cases in Guangxi from 2000 to 2009. China Occup Med 38:177–178
Li JS, Beiyuan J, Tsang DCW, Wang L, Poon CS, Li XD, Fendorf S (2017) Arsenic-containing soil from geogenic source in Hong Kong: leaching characteristics and stabilization/solidification. Chemosphere 182:31–39. https://doi.org/10.1016/j.chemosphere.2017.05.019
Liao J, Chen J, Ru X, Chen J, Wu H, Wei C (2017) Heavy metals in river surface sediments affected with multiple pollution sources, South China: distribution, enrichment and source apportionment. J Geochem Explor 176:9–19. https://doi.org/10.1016/j.gexplo.2016.08.013
Lin WC, Lin YP, Wang YC (2016) A decision-making approach for delineating sites which are potentially contaminated by heavy metals via joint simulation. Environ Pollut 211:98–110. https://doi.org/10.1016/j.envpol.2015.12.030
Linkov I, Satterstrom FK, Kiker G, Batchelor C, Bridges T, Ferguson E (2006) From comparative risk assessment to multi-criteria decision analysis and adaptive management: recent developments and applications. Environ Int 32:1072–1093. https://doi.org/10.1016/j.envint.2006.06.013
Lukasik M, Luszczynski M, Szumski M, Zurawski M (2001) 4eMka2 http://idss.cs.put.poznan.pl/site/4emka.html. Accessed 16 Feb 2018
Luo C, Li T, Yao Y (2017) Dynamic probabilistic rough sets with incomplete data. Inf Sci 417:39–54. https://doi.org/10.1016/j.ins.2017.06.040
Ma LJC (2005) Urban administrative restructuring, changing scale relations and local economic development in China. Polit Geogr 24:477–497. https://doi.org/10.1016/j.polgeo.2004.10.005
Makedonski L, Peycheva K, Stancheva M (2017) Determination of heavy metals in selected black sea fish species. Food Control 72:313–318. https://doi.org/10.1016/j.foodcont.2015.08.024
Malekian A, Azarnivand A (2015) Application of integrated Shannon’s Entropy and VIKOR techniques in prioritization of flood risk in the Shemshak watershed, Iran. Water Resour Manag 30:409–425. https://doi.org/10.1007/s11269-015-1169-6
Marcomini AI, Suter GW, Critto A (2009) Decision support systems for risk-based management of contaminated sites. Springer US, New York City
MEE (2014) National survey of soil pollution status Ministry of Environmental Protection of the People’s Republic of China, Ministry of Land and Resources of the People’s Republic of China. http://www.zhb.gov.cn/gkml/hbb/qt/201404/t20140417_270670.htm. Accessed 18 Feb 2018
MEE (2016) Soil investigation of arsenic contamination in Guangxi. MEE. http://www.mepscc.cn/tabid/375/InfoID/2250/frtid/40/Default.aspx. Accessed 16 Feb 2018
Munda G (2006) Social multi-criteria evaluation for urban sustainability policies. Land Use Pol 23:86–94. https://doi.org/10.1016/j.landusepol.2004.08.012
Pan R, Wang X, Yi C, Zhang Z, Fan Y, Bao W (2017) Multi-objective optimization method for thresholds learning and neighborhood computing in a neighborhood based decision-theoretic rough set model. Neuro computing 266:619–630. https://doi.org/10.1016/j.neucom.2017.05.068
Paul S, Bhattacharjee P, Giri AK (2017) Arsenic toxicity and epimutagenecity the new LINEage. BioMetals 30:505–515. https://doi.org/10.1007/s10534-017-0021-2
Pawlak Z (1982) Rough sets. Int J Comput Inform Sci 11:341–356. https://doi.org/10.1007/978-1-4613-1461-5_1
Pizzol L, Critto A, Agostini P, Marcomini A (2011) Regional risk assessment for contaminated sites part 2: ranking of potentially contaminated sites. Environ Int 37:1307–1320. https://doi.org/10.1016/j.envint.2011.05.010
Ruíz-Huerta EA, Varela AG, Gómez-Bernal JM, Castillo F, Avalos-Borja M, SenGupta B, Martínez-Villegas N (2017) Arsenic contamination in irrigation water, agricultural soil and maize crop from an abandoned smelter site in Matehuala, Mexico. J Hazard Mater 339:330–339. https://doi.org/10.1016/j.jhazmat.2017.06.041
Salvatore G, Benedetto M, Roman S (1999) Rough sets theory for multicriteria decision analysis. Eur J Oper Res 129:1–47. https://doi.org/10.1016/s0377-2217(00)00167-3
Sam K, Coulon F, Prpich G (2017) A multi-attribute methodology for the prioritisation of oil contaminated sites in the Niger Delta. Sci Total Environ 579:1323–1332. https://doi.org/10.1016/j.scitotenv.2016.11.126
Sarkar D, Datta R, Mukherjee A, Hannigan R (2003) An integrated approach to environ manage. John Wiley and Sons, Rome
Schadler S, Morio M, Bartke S, Rohr-Zanker R, Finkel M (2011) Designing sustainable and economically attractive brownfield revitalization options using an integrated assessment model. J Environ Manag 92:827–837. https://doi.org/10.1016/j.jenvman.2010.10.026
Semenzin E, Critto A, Carlon C, Rutgers M, Marcomini A (2007) Development of a site-specific Ecological Risk Assessment for contaminated sites: Part II. A multi-criteria based system for the selection of bioavailability assessment tools. Science of The Total Environment 379(1):34-45
Shakoor MB, Nawaz R, Hussain F, Raza M, Ali S, Rizwan M, Oh SE, Ahmad S (2017) Human health implications, risk assessment and remediation of As-contaminated water: a critical review. Sci Total Environ 601-602:756–769. https://doi.org/10.1016/j.scitotenv.2017.05.223
Song B, Liu C, Chen T (2017) Contents and pollution distribution characteristics of arsenic in soils and sediments in Guangxi Zhuang Autonomous Region. J Natural Resour 32:654–668. https://doi.org/10.11849/zrzyxb.20160508
Song Y, Hou D, Zhang J, O’Connor D, Li G, Gu Q, Li S, Liu P (2018) Environmental and socio-economic sustainability appraisal of contaminated land remediation strategies: a case study at a mega-site in China. Sci Total Environ 610-611:391–401. https://doi.org/10.1016/j.scitotenv.2017.08.016
Sorvari J, Seppälä J (2010) A decision support tool to prioritize risk management options for contaminated sites. Sci Total Environ 408:1786–1799. https://doi.org/10.1016/j.scitotenv.2009.12.026
Sousa C (2002) Brownfield redevelopment in Toronto: an examination of past trends and future prospects. Land Use Pol 19:297–309. https://doi.org/10.1016/s0264-8377(02)00024-8
Stefanidis S, Stathis D (2013) Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Nat Hazards 68:569–585. https://doi.org/10.1007/s11069-013-0639-5
Stefanopoulos K, Yang H, Gemitzi A, Tsagarakis KP (2014) Application of the Multi-Attribute Value Theory for engaging stakeholders in groundwater protection in the Vosvozis catchment in Greece. Sci Total Environ 470-471:26–33. https://doi.org/10.1016/j.scitotenv.2013.09.008
Stevens G, de Foy B, West JJ, Levy JI (2007) Developing intake fraction estimates with limited data: Comparison of methods in Mexico City. Atmospheric Environment 41(17):3672-3683
Sun J (2017) Equality in the distribution of health material and human resources in Guangxi: evidence from Southern China. BMC Res Notes 10:429–434. https://doi.org/10.1186/s13104-017-2760-0
Syms P (1999) ACADEMIC PAPERS Re-developing brownfield land The decision-making process. J Prop Invest Financ 17:481–500. https://doi.org/10.1108/14635789910294903
Tan RR (2005) Rule-based life cycle impact assessment using modified rough set induction methodology. Environ Model Softw 20:509–513. https://doi.org/10.1016/j.envsoft.2004.08.005
Thokala P, Duenas A (2013) Multiple criteria decision analysis for health technology assessment. Value Health 15:1172–1181. https://doi.org/10.1016/j.jval.2012.06.015
Thokala P, Devlin N, Marsh K, Baltussen R, Boysen M, Kalo Z, Longrenn T, Mussen F, Peacock S, Watkins J, Ijzerman M (2016) Multiple criteria decision analysis for health care decision making--an introduction: Report 1 of the ISPOR MCDA Emerging Good Practices Task Force. Value Health 19:1–13. https://doi.org/10.1016/j.jval.2015.12.003
Tóth G, Hermann T, Szatmari G, Pasztor L (2017) Remarks to the debate on mapping heavy metals in soil and soil monitoring in the European Union. Sci Total Environ 603-604:827–831. https://doi.org/10.1016/j.scitotenv.2017.03.129
Uddh-Soderberg TE, Gunnarsson SJ, Hogmalm KJ, Lindegard MI, Augustsson AL (2015) An assessment of health risks associated with arsenic exposure via consumption of homegrown vegetables near contaminated glassworks sites. Sci Total Environ 536:189–197. https://doi.org/10.1016/j.scitotenv.2015.07.018
Wu H, Chen C (2009) A pilot case study of brownfield high-density housing development in China. Int J Hous Mark Anal 1:119–131. https://doi.org/10.1108/17538271011049740
Xiang M, Zhang G, Li L, Wei X, Li H (2010) The characteristics of heavy metals in soil around the Hechi Antimony-Lead Smelter, Guangxi, China. Earth Environ 38:495–500. https://doi.org/10.14050/j.cnki.1672-9250.2010.04.015
Xiao X et al (2008) Regional distribution of arsenic contained minerals and arsenic pollution in China. Geogr Res 27:201–212. https://doi.org/10.3321/j.issn:1000-0585.2008.01.022
Zabeo A, Pizzol L, Agostini P, Critto A, Giove S, Marcomini A (2011) Regional risk assessment for contaminated sites part 1: vulnerability assessment by multicriteria decision analysis. Environ Int 37:1295–1306. https://doi.org/10.1016/j.envint.2011.05.005
Zhao R, Li C, Tian X (2017) A novel industrial multimedia: rough set based fault diagnosis system used in CNC grinding machine. Multimed Tools Appl 76:19913–19926. https://doi.org/10.1007/s11042-016-3878-0
Zhu J (2004) Local developmental state and order in China’s urban development during transition. Int J Urban and Reg Res 28:424–447. https://doi.org/10.1111/j.0309-1317.2004.00527.x
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This study was financially supported by the Major Science and Technology Program for Water Pollution Control and Treatment (2017ZX07302-002), and Solid Waste and Chemicals Management Centre in China’s Ministry of Environmental Protection.
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Chen, R., Xiong, Y., Li, J. et al. Comparison of multi-criteria analysis methodologies for the prioritization of arsenic-contaminated sites in the southwest of China. Environ Sci Pollut Res 26, 11781–11792 (2019). https://doi.org/10.1007/s11356-019-04642-z
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DOI: https://doi.org/10.1007/s11356-019-04642-z